model

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model:
+- PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
+- LatitudeGames/Wayfarer-12B
+- mistralai/Mistral-Nemo-Base-2407
+- Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+- bamec66557/MISCHIEVOUS-12B-Mix_0.6v
+- aixonlab/Grey-12b
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# nemoties
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [PocketDoc/Dans-PersonalityEngine-V1.1.0-12b](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b)
+* [LatitudeGames/Wayfarer-12B](https://huggingface.co/LatitudeGames/Wayfarer-12B)
+* [Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24](https://huggingface.co/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24)
+* [bamec66557/MISCHIEVOUS-12B-Mix_0.6v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.6v)
+* [aixonlab/Grey-12b](https://huggingface.co/aixonlab/Grey-12b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b #ifeval, musr; weak in math, gpqa
+    parameters:
+      density: [0.1, 0.25, 1.0, 0.5, 1.0]
+      weight: 1.0
+  - model: LatitudeGames/Wayfarer-12B #personality, bias, sentiment; unknown weaknesses
+    parameters:
+      density: [1.0, 0.5, 0.01]
+      weight: [1.0, 0.5]
+  - model: aixonlab/Grey-12b #bbh, mmlu; weak in ifeval, gpqa
+    parameters:
+      density: [0.75, 1.0, 0.6, 0.25, 0.01]
+      weight: [1.0, 0.5]
+  - model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 #MATH; weak in musr, gpqa
+    parameters:
+      density: [0.1, 0.1, 0.25, 1.0, 0.01]
+      weight: 1.0
+  - model: bamec66557/MISCHIEVOUS-12B-Mix_0.6v #ok GPQA and other reasoning; mediocre ifeval
+    parameters:
+      density: [0.1, 0.5, 1.0, 0.5, 0.01]
+      weight: 1.0
+merge_method: ties
+base_model: mistralai/Mistral-Nemo-Base-2407
+tokenizer_source: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+models:
+  - model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b #ifeval, musr; weak in math, gpqa
+    parameters:
+      density: [0.1, 0.25, 1.0, 0.5, 1.0]
+      weight: 1.0
+  - model: LatitudeGames/Wayfarer-12B #personality, bias, sentiment; unknown weaknesses
+    parameters:
+      density: [1.0, 0.5, 0.01]
+      weight: [1.0, 0.5]
+  - model: aixonlab/Grey-12b #bbh, mmlu; weak in ifeval, gpqa
+    parameters:
+      density: [0.75, 1.0, 0.6, 0.25, 0.01]
+      weight: [1.0, 0.5]
+  - model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 #MATH; weak in musr, gpqa
+    parameters:
+      density: [0.1, 0.1, 0.25, 1.0, 0.01]
+      weight: 1.0
+  - model: bamec66557/MISCHIEVOUS-12B-Mix_0.6v #ok GPQA and other reasoning; mediocre ifeval
+    parameters:
+      density: [0.1, 0.5, 1.0, 0.5, 0.01]
+      weight: 1.0
+merge_method: ties
+base_model: mistralai/Mistral-Nemo-Base-2407
+tokenizer_source: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

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